Rao Roshan R, Mani Monto, Ramamurthy Praveen C
Centre for Sustainable Technologies, Indian Institute of Science, Bangalore 560012, India.
Department of Materials Engineering, Indian Institute of Science, Bangalore 560012, India.
Heliyon. 2018 Sep 29;4(9):e00815. doi: 10.1016/j.heliyon.2018.e00815. eCollection 2018 Sep.
Globally installed solar photovoltaics (PV) capacity has crossed three hundred gigawatts and is increasing each year. As the share of solar PV in the energy mix of a country increases, forecasting PV power available will be crucial. To forecast the instantaneous and long-term PV power output, understanding the factors influencing them is necessary. In this view, this work elaborates on the factors that impact the PV system through tabulation and graphical explanation. Further, a discussion of the articles related to the dust-induced change in performance is made. To understand the impact of dust on solar PV systems in depth, advanced instrumentation and methodologies have been used in the past few years. One of the methods is the measurement of spectral transmittance/reflectance/absorptance of the dust layer on the PV panel. This has led to the question whether a thin layer of some specific dust can be beneficial by absorbing infrared (IR) heat and hence allowing the PV cells to operate at a lower temperature. Many controlled experiments in the laboratory have been made using the artificial dust and sun simulators; and such studies aid in the development of numerical models. Research in modeling, mathematical analysis (from first principles) of dust deposition, and calculation of its impact on panels have been given importance in recent years. Outdoor experiments are relatively more common than other modes of research in this field. Studies involving the interaction of deposited dust with spectral radiation, improving the correlation between artificial and natural dust deposition, the interplay between dust and atmospheric parameters are to be encouraged.
全球已安装的太阳能光伏发电（PV）容量已超过300吉瓦，且每年都在增加。随着太阳能光伏发电在一个国家能源结构中的占比增加，预测可用的光伏发电量将至关重要。为了预测瞬时和长期的光伏发电输出，有必要了解影响它们的因素。从这个角度来看，这项工作通过列表和图形解释阐述了影响光伏系统的因素。此外，还对与灰尘导致性能变化相关的文章进行了讨论。为了深入了解灰尘对太阳能光伏系统的影响，在过去几年中使用了先进的仪器和方法。其中一种方法是测量光伏板上灰尘层的光谱透射率/反射率/吸收率。这就引出了一个问题，即一层特定的薄灰尘是否可以通过吸收红外（IR）热量而有益，从而使光伏电池在较低温度下运行。在实验室中使用人工灰尘和太阳模拟器进行了许多对照实验；这些研究有助于数值模型的开发。近年来，对灰尘沉积的建模、数学分析（从第一原理出发）以及计算其对面板的影响的研究受到了重视。在该领域，户外实验比其他研究模式相对更常见。应鼓励开展涉及沉积灰尘与光谱辐射相互作用、改善人工与自然灰尘沉积之间的相关性以及灰尘与大气参数之间相互作用的研究。
